Cerebrium

Cerebrium is a Python-native serverless GPU platform for deploying models and custom inference code as scalable APIs, with pay-per-second billing, fast cold starts, and 12+ GPU types.

Cerebrium is a Python-native serverless GPU platform aimed at ML engineers who want to deploy models and custom inference code as scalable APIs without managing Kubernetes, containers, or GPU orchestration. You write Python, and Cerebrium handles packaging, scaling, and serving on GPU hardware, so teams can go from model to production endpoint quickly. The platform bills per second of active compute, so you only pay while a workload is processing requests, with GPU, CPU, and memory metered as separate line items. It offers 12+ GPU types spanning entry-level to high-end hardware including A100 and H100, with cold starts in the low single-digit seconds. Discounts are available for larger deployments and longer-term commitments based on expected spend and the specific compute SKUs needed. Cerebrium is positioned for real-time AI use cases such as transcription, custom model inference, and latency-sensitive GPU-backed APIs. The company is South African-founded and raised roughly $8.5M to build out its serverless AI infrastructure, making it a credible niche alternative to larger inference clouds for teams that value Python-first ergonomics and granular pay-per-second pricing.